Explanation-based learning (EBL) is a form of machine learning that exploits a very strong, or even perfect, domain theory to make generalizations or form concepts from training examples. == Details== An example of EBL using a perfect domain theory is a program that learns to play chess by being shown examples. A specific chess position that conta...